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Warning: This site is under construction |
📌 Introduction
In this section, we describe the basics of metadata and explain what metadata mapping is. We also look at the Health-RI Core Metadata Schema and the metadata standards it builds upon. This page is intended for a general audience. For details on the standards and the schema, please visit pages dedicated for data experts.
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Metadata serves as the backbone of effective data management and analysis in the life sciences and healthcare domains. It enables researchers, clinicians, and policymakers to derive meaningful insights from vast amounts of data while ensuring its integrity, reliability and confidentiality, by provide a standardization, interoperability and machine readabilty of the shared metadata.
🔎 Metadata standards
A metadata standard is a set of rules, guidelines and conventions that define how metadata should be structured, formatted and described within a particular domain or context. Adhering to such standards ensures consistency, interoperability and effective management of metadata across different systems, organizations and disciplines.
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DCAT-AP: DCAT Application Profile for Data Portals in Europe is a metadata standard developed by the European Commission to facilitate the interoperability of data catalogs and portals across European countries. It builds upon the DCAT (Data Catalog Vocabulary) standard and extends it with additional requirements and recommendations tailored to the European context.
🎯 HRI Metadata
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Schema
The National Health Data Catalogue currently works with a Core Metadata SetSchema. This Core Metadata Schema is a formal shared conceptualisation of the requirements to find and reuse information across Health-RI nodes via the National Catalogue. It represents a set of minimal elements for describing each resource (including dataset) with common metadata. The current version of the Core Metadata Schema includes DCAT v3 and some selected DCAT-AP mandatory classes and their definitions.
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